How Agentic AI is Reshaping Company Structures: A New Approach to Organizational Design

Companies implementing agentic AI often face a mismatch between new technologies and outdated operational models. According to Prasun Shah, Global Technology Director at PwC UK Consulting, many organizations attempt to "patch" AI agents onto existing processes rather than redesigning them from scratch. This approach limits the technology’s potential, which can automate complex workflows with minimal human intervention.

Agentic AI can coordinate tasks, make autonomous decisions, and adapt to changes. In test scenarios covering customer service, HR, and sales, the technology has already demonstrated a 30-50% acceleration in business processes and a 25-40% reduction in time spent on routine operations. However, realizing these benefits requires systemic changes across the entire company, not just targeted implementation.

The Ema platform introduced the term "Agentic Business Transformation" (ABT) to describe a new phase of AI development in the corporate environment. Unlike digital transformation or AI integration into existing processes, ABT involves deep integration of AI agents into the organizational structure. According to Ema CEO Surohit Chatterjee, this necessitates revisiting the technology stack, employee roles, and performance metrics.

The first step in ABT is adapting the technological infrastructure. Modern IT systems were designed for human interaction, whereas AI agents operate at machine speed, simultaneously engaging with multiple systems. Without infrastructure overhaul, full utilization of agentic AI is impossible.